Senior Analytics Engineer
- Role
- Data Engineering
- Experience
- Senior
- Employment
- Contract
Open to Anywhere in LATAM · UTC-7…UTC-7. Set where you work from to check your eligibility.
No BS summary
Senior analytics engineer in LATAM with strong DBT, dimensional modeling, Databricks, SQL, Python/PySpark, Terraform/IaC, and Microsoft Fabric experience. Must speak strong English, overlap fully with Mountain Time, and work as an independent contractor 32–40 hours/week.
Core skills
Required skills
Optional skills
Required languages
About AllShore Talent AllShore Talent is a leading remote staffing company, offering top-tier professionals working 100% remote to businesses worldwide. Specializing in IT and software development, design, administrative support, digital marketing, and more. AllShore connects organizations with skilled talent to meet diverse business needs. About The Role Our client is expanding its modern data and analytics capabilities and is seeking a Senior Analytics Engineer with strong expertise in analytics engineering, dimensional data modeling, DBT, and cloud-based data platforms. This role is heavily focused on designing and building scalable analytical data models that support reporting, business intelligence, and modern analytics initiatives across internal departments. Candidates should have strong hands-on experience with dimensional modeling concepts such as facts, dimensions, star schemas, and Kimball methodology, along with practical experience using Databricks and cloud analytics tooling. The ideal candidate is a strong SQL and analytics engineering professional who can work independently, communicate effectively with stakeholders, and deliver production-ready data solutions in enterprise environments. Key Responsibilities Analytics Engineering & Data Modeling (Primary Focus) Design and implement scalable analytical data models using dimensional modeling best practices Build and maintain fact tables, dimension tables, star schemas, and reporting datasets Develop and manage DBT transformations, models, and analytics workflows Create scalable ELT pipelines using Databricks, SQL, Python, and cloud-based technologies Collaborate with stakeholders to translate business and reporting requirements into reliable data solutions Ensure data quality, consistency, and governance across analytics environments Support modern analytics initiatives using Microsoft Fabric, SQL endpoints, and related tooling Use Terraform or Infrastructure as Code (IaC) tooling to manage data platform resources Contribute to AI-enabled analytics initiatives, integrations, and modern data platform enhancements. Secondary Responsibilities Provide light support for legacy Microsoft reporting environments (SSRS), on an as-needed basis only. Required Qualifications (in priority order) Strong hands-on experience with DBT and analytics engineering workflows, including deep expertise in dimensional data modeling: Facts and dimensions Star schema design Kimball methodology Analytical warehouse modeling Hands-on experience with Databricks, including SQL, Python, and PySpark; advanced SQL skills for data transformation and analytics engineering Experience using Terraform or Infrastructure as Code (IaC) tooling Experience with Microsoft Fabric, especially SQL endpoints and analytics workloads Experience supporting AI-enabled analytics initiatives, copilots, agents, or modern AI integrations — candidates who can help teams adopt AI tooling are a strong differentiator for this client Strong communication and stakeholder-management skills Ability to work independently in a fast-paced remote environment Nice-to-Have Skills Familiarity with Power BI or enterprise reporting environments Experience modernizing legacy BI/data environments Familiarity with Azure Data Factory, Synapse, or related Microsoft cloud analytics services Experience with data quality frameworks, monitoring, or testing practices Who You Are You are an analytics-focused data professional with strong business and technical understanding You excel at translating reporting and analytics requirements into scalable data models You are comfortable working independently and collaborating across multiple teams You bring strong ownership, communication, and problem-solving skills You are confident explaining technical concepts to both technical and non-technical stakeholders Non-Technical Requirements (weighted equally to technical skills) Strong spoken English Reliable home/office connectivity and consistent meeting/standup attendance Full Mountain Time working-hours overlap required Engagement Details Independent contractor role Fully remote 32 - 40 hours per week Full-time, long-term commitment Hourly rate: $23.75–$25 USD depending on experience
What you'll do
- Design and implement scalable analytical data models using dimensional modeling best practices
- Build and maintain fact tables, dimension tables, star schemas, and reporting datasets
- Develop and manage DBT transformations, models, and analytics workflows
- Create scalable ELT pipelines using Databricks, SQL, Python, and cloud-based technologies
- Collaborate with stakeholders to translate business and reporting requirements into reliable data solutions
- Ensure data quality, consistency, and governance across analytics environments
- Support modern analytics initiatives using Microsoft Fabric, SQL endpoints, and related tooling
- Use Terraform or Infrastructure as Code (IaC) tooling to manage data platform resources
- Contribute to AI-enabled analytics initiatives, integrations, and modern data platform enhancements
- Provide light support for legacy Microsoft reporting environments (SSRS), on an as-needed basis only
What they require
- Strong hands-on experience with DBT and analytics engineering workflows, including deep expertise in dimensional data modeling: facts and dimensions, star schema design, Kimball methodology, analytical warehouse modeling
- Hands-on experience with Databricks, including SQL, Python, and PySpark
- Advanced SQL skills for data transformation and analytics engineering
- Experience using Terraform or Infrastructure as Code (IaC) tooling
- Experience with Microsoft Fabric, especially SQL endpoints and analytics workloads
- Experience supporting AI-enabled analytics initiatives, copilots, agents, or modern AI integrations — candidates who can help teams adopt AI tooling are a strong differentiator for this client
- Strong communication and stakeholder-management skills
- Ability to work independently in a fast-paced remote environment
- You are an analytics-focused data professional with strong business and technical understanding
- You excel at translating reporting and analytics requirements into scalable data models
- You are comfortable working independently and collaborating across multiple teams
- You bring strong ownership, communication, and problem-solving skills
- You are confident explaining technical concepts to both technical and non-technical stakeholders
- Strong spoken English
- Reliable home/office connectivity and consistent meeting/standup attendance
- Full Mountain Time working-hours overlap required
- Independent contractor role
- Fully remote
- 32 - 40 hours per week
- Full-time, long-term commitment
- Preferred: Familiarity with enterprise reporting environments
- Preferred: Experience modernizing legacy BI/data environments
- Preferred: Experience with data quality frameworks, monitoring, or testing practices
AllShore Talent is a leading remote staffing company, offering top-tier professionals working 100% remote to businesses worldwide. Specializing in IT and software development, design, administrative support, digital marketing, and more. AllShore connects organizations with skilled talent to meet diverse business needs.